Meta

Meta

Social media and metaverse company behind Facebook, Instagram, and WhatsApp.

4 Rounds ~21 Days Very Hard
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The Interview Loop

Recruiter Screen (30 min)

Standard fit check, behavioral questions, and resume overview.

Technical Loop (3-4 Rounds)

Deep dive into domain knowledge, coding, and system design.

Interview Question Bank

Data Analyst Technical hard

A/B test shows p=0.04, but the effect size is tiny. Would you ship?

#Practical Significance #Decision Making
Data Analyst Technical hard

What sample size do you need for an A/B test? How do you calculate it?

#Sample Size #Power
Data Scientist Technical medium

Explain the central limit theorem and its importance in data science.

#CLT #Sampling
Data Scientist Technical easy

What is the difference between Type I and Type II errors?

#Hypothesis Testing #Errors
Data Scientist Technical hard

What is the multiple testing problem? How do you correct for it?

#Bonferroni #FDR
Data Scientist Technical hard

Explain Bayesian vs Frequentist statistics. When would you use each?

#Bayesian #Frequentist
Data Scientist Technical medium

What is a confidence interval? How does it differ from a prediction interval?

#Confidence Interval #Intervals
Data Scientist Technical medium

How would you detect and handle multicollinearity in a regression model?

#Multicollinearity #Regression
Data Scientist Technical medium

Explain the bias-variance tradeoff. How does it influence model selection?

#Bias-Variance #Model Selection
Data Scientist Technical hard

Meta wants to estimate the proportion of fake accounts on the platform. Since we cannot manually review billions of accounts, how would you design a sampling strategy to estimate this proportion with a 95% confidence interval and a 1% margin of error?

#Sampling #Confidence Intervals #Sample Size Calculation
Data Scientist Technical medium

What is a p-value? Why is a p-value of 0.05 not always sufficient?

#Hypothesis Testing #p-value

Difficulty Radar

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Meet Your Interviewers

The "Standard" Interviewer

Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

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Think Out Loud

Always explain your thought process before writing code or drawing architecture.

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